文章基本信息

标题：Predicting Student Success via Online Homework Usage
本地全文：下载
作者：Charles R Bowman ; Ozcan Gulacar ; Daniel B King 等
期刊名称：Journal of Learning Design
印刷版ISSN：1832-8342
出版年度：2014
卷号：7
期号：2
页码：47
DOI：10.5204/jld.v7i2.201
出版社：Queensland University of Technology
摘要：With the amount of data available through an online homework system about students’ study habits, it stands to reason that such systems can be used to identify likely student outcomes. A study was conducted to see how student usage of an online chemistry homework system (OWL) correlated with student success in a general chemistry course. Online chemistry homework activity was examined for first-year students taking general chemistry at a midsize, private university. The six different chemistry question sets examined were: bond properties; standard molar enthalpy; electronegativity; Lewis dot structures; calorimetry; and stoichiometry. Students’ OWL activity was then correlated with their exam grades and their final course grades. Results showed that higher average time spent per question correlated positively with student success as measured by final grades. However, multiple attempts per question correlated negatively with student success. A multiple linear regression model and other guidelines are presented for instructors’ use to identify chemistry topics where students may need additional instruction to improve their understanding.
其他关键词：Online homework, general chemistry, effective study, predictors of success